How do GPT-5.6 Sol and GLM 5.1 Thinking compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.6 Sol and GLM 5.1 Thinking when publicly disclosed.

LLM Comparison

GPT-5.6 Sol vs GLM 5.1 Thinking: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Sol or GLM 5.1 Thinking?

AskClash compares GPT-5.6 Sol and GLM 5.1 Thinking side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.6 Sol vs GLM 5.1 Thinking comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboard GPT-5.6 Sol model page GLM 5.1 Thinking model page

Rank #3 vs #25AskClash overall scores 84.0 vs 50.5.

Pricing $5.00/$30.0 vs $0/$0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Zhipu AI.

GPT-5.6 Sol vs GLM 5.1 Thinking benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	GPT-5.6 Sol	GLM 5.1 Thinking
Overall Score	84.0	50.5
Leaderboard Rank	#3	#25
RWT	9.5	—
Coding Agent Index	80.0	36.1
HLE	47.2	52.3
GPQA	94.1	86.2
SWE-Pro	64.6	58.4
SWE-Atlas	84.0	—
Terminal-Bench	88.8	63.5
DeepSWE	72.7	—
MCP Atlas	—	71.8
Finance Agent	53.8	44.8
MMMU-Pro	83.0	—
ARC-AGI 2	92.5	—
Tau2	85.1	97.7
MRCR	91.5	—
Input Price (per 1M tokens)	$5.00	$0
Output Price (per 1M tokens)	$30.0	$0
Context Window	1M	203K
Benchmarks Published	15	9

GPT-5.6 Sol vs GLM 5.1 Thinking head-to-head charts

GPT-5.6 Sol leads 6 and GLM 5.1 Thinking leads 2 of 8 shared benchmarks. GLM 5.1 Thinking is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolGLM 5.1 Thinking

Overall

84.0GPT-5.6 Sol

50.5GLM 5.1 Thinking

Coding Agent Index

80.0GPT-5.6 Sol

36.1GLM 5.1 Thinking

HLE

47.2GPT-5.6 Sol

52.3GLM 5.1 Thinking

GPQA

94.1GPT-5.6 Sol

86.2GLM 5.1 Thinking

SWE-Pro

64.6GPT-5.6 Sol

58.4GLM 5.1 Thinking

Terminal-Bench

88.8GPT-5.6 Sol

63.5GLM 5.1 Thinking

Finance Agent

53.8GPT-5.6 Sol

44.8GLM 5.1 Thinking

Tau2

85.1GPT-5.6 Sol

97.7GLM 5.1 Thinking

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

Context1M

GLM 5.1 Thinking

Input$0

Output$0

Workload$0.00

Context203K

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-5.6 Sol and GLM 5.1 Thinking comparisons

Explore how GPT-5.6 Sol and GLM 5.1 Thinking stack up against other top-ranked LLMs.

Claude Opus 5 vs GPT-5.6 Sol Claude Opus 5 vs GLM 5.1 Thinking Claude Fable 5 vs GPT-5.6 Sol Claude Fable 5 vs GLM 5.1 Thinking GPT-5.6 Sol vs Claude Opus 4.8 Claude Opus 4.8 vs GLM 5.1 Thinking GPT-5.6 Sol vs Kimi K3 Kimi K3 vs GLM 5.1 Thinking GPT-5.6 Sol vs Claude Opus 4.7 Claude Opus 4.7 vs GLM 5.1 Thinking

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.